The Construction of Sports Health Management Model Based on Deep Learning
Deep learning is a new direction in the field of machine learning. It learns the inherent laws and representation levels of sample data. The information obtained in the learning process plays a great role in interpreting data such as text, images, and speech. Health management refers to the process...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Applied Bionics and Biomechanics |
| Online Access: | http://dx.doi.org/10.1155/2022/5194665 |
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| _version_ | 1832553698587312128 |
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| author | Junniao Meng Song Wang |
| author_facet | Junniao Meng Song Wang |
| author_sort | Junniao Meng |
| collection | DOAJ |
| description | Deep learning is a new direction in the field of machine learning. It learns the inherent laws and representation levels of sample data. The information obtained in the learning process plays a great role in interpreting data such as text, images, and speech. Health management refers to the process of identifying, evaluating, and effectively intervening the health of individuals or groups of people. The purpose of this article is to build a sports health management model based on deep learning, to train students to actively take physical exercises, thereby promoting their physical fitness. This article first introduces related concepts such as deep learning and convolutional neural networks and then conducts an experimental exploration on the combination of convolutional neural networks and multilayer perceptrons. Secondly, this article designs a plan for sports health management of sports interventions and compares and analyzes the data before and after health management. The experimental results show that the average value of the overall health dimension after the experiment has reached 85.28, and the average value has reached a very high score, indicating that exercise intervention can effectively improve the physical fitness of students. At the same time, it improves the physical condition of students. |
| format | Article |
| id | doaj-art-977a7eb4da314f3b9d62bb242348478d |
| institution | Kabale University |
| issn | 1754-2103 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Bionics and Biomechanics |
| spelling | doaj-art-977a7eb4da314f3b9d62bb242348478d2025-02-03T05:53:30ZengWileyApplied Bionics and Biomechanics1754-21032022-01-01202210.1155/2022/5194665The Construction of Sports Health Management Model Based on Deep LearningJunniao Meng0Song Wang1Institute of Sports and HealthZhengzhou Business SchoolDeep learning is a new direction in the field of machine learning. It learns the inherent laws and representation levels of sample data. The information obtained in the learning process plays a great role in interpreting data such as text, images, and speech. Health management refers to the process of identifying, evaluating, and effectively intervening the health of individuals or groups of people. The purpose of this article is to build a sports health management model based on deep learning, to train students to actively take physical exercises, thereby promoting their physical fitness. This article first introduces related concepts such as deep learning and convolutional neural networks and then conducts an experimental exploration on the combination of convolutional neural networks and multilayer perceptrons. Secondly, this article designs a plan for sports health management of sports interventions and compares and analyzes the data before and after health management. The experimental results show that the average value of the overall health dimension after the experiment has reached 85.28, and the average value has reached a very high score, indicating that exercise intervention can effectively improve the physical fitness of students. At the same time, it improves the physical condition of students.http://dx.doi.org/10.1155/2022/5194665 |
| spellingShingle | Junniao Meng Song Wang The Construction of Sports Health Management Model Based on Deep Learning Applied Bionics and Biomechanics |
| title | The Construction of Sports Health Management Model Based on Deep Learning |
| title_full | The Construction of Sports Health Management Model Based on Deep Learning |
| title_fullStr | The Construction of Sports Health Management Model Based on Deep Learning |
| title_full_unstemmed | The Construction of Sports Health Management Model Based on Deep Learning |
| title_short | The Construction of Sports Health Management Model Based on Deep Learning |
| title_sort | construction of sports health management model based on deep learning |
| url | http://dx.doi.org/10.1155/2022/5194665 |
| work_keys_str_mv | AT junniaomeng theconstructionofsportshealthmanagementmodelbasedondeeplearning AT songwang theconstructionofsportshealthmanagementmodelbasedondeeplearning AT junniaomeng constructionofsportshealthmanagementmodelbasedondeeplearning AT songwang constructionofsportshealthmanagementmodelbasedondeeplearning |